{"id":"W1559578969","doi":"10.1109/vts.2002.1011157","title":"Speeding-up I/sub DDQ/ measurements","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003642579,0.00008180021,0.00007805065,0.00004965754,0.0001053364,0.0001191228,0.0003793623,0.00002504477,0.00004232843],"category_scores_gemma":[0.0001618434,0.00007127485,0.00003765553,0.0002690833,0.00001129319,0.0002711426,0.00004120154,0.00006179789,0.0002625992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002362767,"about_ca_system_score_gemma":0.00004051534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000858961,"about_ca_topic_score_gemma":0.000003980427,"domain_scores_codex":[0.9990983,0.00002917079,0.0001236767,0.0002365881,0.0002650037,0.0002472564],"domain_scores_gemma":[0.9995418,0.00002715811,0.00003281483,0.000248284,0.00006585679,0.0000840431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[1.198898e-7,0.0001433713,0.07482288,0.00002367824,0.00004848179,0.00003726166,0.0007001944,0.00006844747,0.08619665,0.318221,0.01710592,0.502632],"study_design_scores_gemma":[0.002472944,0.0002770967,0.01736283,0.0001543305,0.00003270602,0.0003389935,0.0001873601,0.01854936,0.8660972,0.05235776,0.04018092,0.001988456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01828841,0.00007545583,0.6783312,0.000163062,0.0006844768,0.00005817166,9.542693e-8,0.0002966548,0.3021025],"genre_scores_gemma":[0.9945607,0.000001722958,0.003802592,0.0004493147,0.00003649999,0.00000152346,1.565243e-7,0.000004560163,0.001142888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9762723,"threshold_uncertainty_score":0.3375269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09322124507992553,"score_gpt":0.2566793640308443,"score_spread":0.1634581189509188,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}